Automated Optical Fiber System for Brain Monitoring
Author Information
Author(s): Zhang Yuqian, Zhang Naihan, Hu Yubing, Pereira Christopher, Fertleman Michael, Jiang Nan, Yetisen Ali K.
Primary Institution: Imperial College London
Hypothesis
Can a multiplexed optical fiber sensing system accurately monitor multiple cerebrospinal fluid biomarkers in real time?
Conclusion
The developed optical fiber sensing system can continuously and accurately monitor multiple brain biomarkers, aiding in the detection of brain physiology changes.
Supporting Evidence
- The system demonstrated high sensitivity and selectivity for the target biomarkers.
- Real-time monitoring was validated using ex vivo traumatic brain injury models.
- The system accurately tracked biomarker fluctuations in clinical CSF samples.
- Machine learning algorithms improved the accuracy of biomarker concentration predictions.
- The system is designed for minimal invasiveness and high biocompatibility.
- Continuous monitoring can aid in timely interventions for brain injuries.
- The system holds potential for use in various clinical settings.
- Future improvements could enhance the number of biomarkers monitored simultaneously.
Takeaway
This study created a special fiber system that can check six important brain chemicals at the same time, helping doctors see how the brain is doing.
Methodology
The study developed a multiplexed optical fiber sensing system using AI for real-time monitoring of six cerebrospinal fluid biomarkers.
Limitations
The system's biocompatibility needs further evaluation for long-term use.
Participant Demographics
Patients admitted to St Mary’s Hospital, London, U.K.
Digital Object Identifier (DOI)
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